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Freight Trip Generation and Land Use (2012)

Chapter: Appendix B - Number of Vendors vs. Business Size

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Page 91
Suggested Citation:"Appendix B - Number of Vendors vs. Business Size." National Academies of Sciences, Engineering, and Medicine. 2012. Freight Trip Generation and Land Use. Washington, DC: The National Academies Press. doi: 10.17226/23437.
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Page 91
Page 92
Suggested Citation:"Appendix B - Number of Vendors vs. Business Size." National Academies of Sciences, Engineering, and Medicine. 2012. Freight Trip Generation and Land Use. Washington, DC: The National Academies Press. doi: 10.17226/23437.
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Page 92
Page 93
Suggested Citation:"Appendix B - Number of Vendors vs. Business Size." National Academies of Sciences, Engineering, and Medicine. 2012. Freight Trip Generation and Land Use. Washington, DC: The National Academies Press. doi: 10.17226/23437.
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Page 93

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87 This Appendix shows the data concerning number of vendors vs. business size for a sample of establishments in NYC in the food, wholesale trade, and retail trade sectors. Retail Trade A p p e n d i x B Number of Vendors vs. Business Size Figure 13. Number of vendors vs. number of employees: retail trade industry. 1 10 100 0 10 20 30 40 50 60 70 80 90 100 Employment V en do rs 0.032513872 0.001057152 - 0.007130904 248.6312227 124 1 7981.194665 7981.1947 0.129109 0.719978792 122 7541733.16 61817.485 123 7549714.355 t S tat P- value Lowe r 95% Uppe r 95% - 62.71341 23.85713014 - 2.628707 0.0096731 - 109.94098 - 15.48584 0.1214605 0.338031182 0.3593174 0.7199788 - 0.54770598 0.790627 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA df SS MS F Significance F Regression Residual Total Coefficients Standard Error Intercept X Variable 1 As shown, the coefficient for the number of employees as an independent variable is not statistically significant; in contrast, the intercept is significant at the 90% confidence level. As a result, the number of vendors that deliver products to these establishments is statistically constant.

88 Wholesale Trade As shown, the coefficient for the number of employees as an independent variable is not statistically significant; in contrast, the intercept is significant at the 99% confidence level. As a result, the number of vendors that deliver products to these establishments is statistically constant. Figure 14. Number of vendors vs. number of employees: wholesale trade industry. 0 10 20 30 40 50 60 70 80 90 100 Employment 1 10 100 V en do rs 0.032513872 0.001057152 - 0.007130904 248.6312227 124 1 7981.194665 7981.1947 0.129109 0.719978792 122 7541733.16 61817.485 123 7549714.355 t S tat P- value Lowe r 95% Uppe r 95% - 62.71341 23.85713014 - 2.628707 0.0096731 - 109.94098 - 15.48584 0.1214605 0.338031182 0.3593174 0.7199788 - 0.54770598 0.790627 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations Significance FFMSSSdf Regression Residual Total Coefficients Standard Error Intercept X Variable 1 ANOVA

89 Food As shown, the coefficient for the number of employees as an independent variable is not statistically significant; in contrast, the intercept is significant at the 80% confidence level. As a result, the number of vendors that deliver products to these establishments is statistically constant. Figure 15. Number of vendors vs. number of employees: food industry. 1 10 100 0 10 20 30 40 50 60 70 80 90 100 Employment V en do rs 0.060961414 0.003716294 - 0.00773524 150.4642036 89 1 7347.044418 7347.0444 0.3245236 0.570369777 87 1969634.461 22639.477 88 1976981.506 t S tat P- value Lowe r 95% Uppe r 95% - 22.7595 18.67544437 - 1.218686 0.2262578 - 59.8789632 14.359971 0.1751761 0.30750464 0.5696697 0.5703698 - 0.43602267 0.7863748 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations df S S MS F Significance F Regression Residual Total Coefficients Standard Error Intercept X Variable 1 ANOVA

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TRB joint National Cooperative Highway Research Program (NCHRP) Report 739/National Cooperative Freight Research Program (NCFRP) Report 19: Freight Trip Generation and Land Use explores the relationship between freight trip generation and land use.

The report consolidates available freight trip generation models in an electronic database to assist practitioners interested in using these models; identifies potential approaches to develop and apply freight trip generation models; and estimates establishment-level freight trip generation models in a number of case studies.

Electronic Database Disclaimer - This software is offered as is, without warranty or promise of support of any kind either expressed or implied. Under no circumstance will the National Academy of Sciences or the Transportation Research Board (collectively "TRB") be liable for any loss or damage caused by the installation or operation of this product. TRB makes no representation or warranty of any kind, expressed or implied, in fact or in law, including without limitation, the warranty of merchantability or the warranty of fitness for a particular purpose, and shall not in any case be liable for any consequential or special damages.

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